An AutoML-tuned deep clustering plus Bayesian network predicts accident-driven congestion with a reported 95.6% accuracy, validated qualitatively with SUMO simulations.
Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing,
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Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
An AutoML-tuned deep clustering plus Bayesian network predicts accident-driven congestion with a reported 95.6% accuracy, validated qualitatively with SUMO simulations.